What are the architecture of a data warehouse?

What are the types of data warehouse architecture?

Types of Data Warehouse ArchitectureSingle-tier architecture, which aims to deduplicate data to minimize the amount of stored data.Three-tier architecture: ... Data Warehouse Database. ... Extraction, Transformation, and Loading Tools (ETL) ... Metadata. ... Data Warehouse Access Tools.

What are three architecture of datawarehouse?

Data Warehouses usually have a three-level (tier) architecture that includes: Bottom Tier (Data Warehouse Server) Middle Tier (OLAP Server) Top Tier (Front end Tools).

What are the components of data warehouse architecture?

A typical data warehouse has four main components: a central database, ETL (extract, transform, load) tools, metadata, and access tools. All of these components are engineered for speed so that you can get results quickly and analyze data on the fly.

What is the best data warehouse architecture?

Architecture design: Kimball or Inmon Inmon's approach is considered top down; it treats the warehouse as a centralized repository for all of an organization's data. Once there's a centralized data model for that repository, organizations can use dimensional data marts based on that model.